The Laboratory for Dynamics and Control of Nanosystems (LDCN) is a multi-million dollar state-of-the-art research facility dedicated to the advancement of nanotechnology through innovations in systems theory and control engineering. The main thrust of research in the laboratory is to develop methodologies, technologies, and the necessary instrumentation for fast and accurate interrogation and manipulation of matter at the nanoscale. LDCN's multidisciplinary research team pursues a dynamic and active research program that maintains a solid systems and control focus on a variety of emerging applications in nanotechnology.


Department of Systems Engineering
Erik Jonsson School of Engineering & Computer Science
The University of Texas at Dallas
800 West Campbell Rd, Richardson, TX 75080, USA

Ph: +1 972 883 4158
Email: Reza.Moheimani@utdallas.edu

Location information


Recent News


Dr. Mohammad Maroufi to join Apple Inc.
July 28, 2019
Congratulations to Dr. Mohammad Maroufi who will be joining Apple Inc., Cupertino, CA in August. We wish Mohammad best of luck in his new career.
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UT Dallas establishes a new research center
May 29, 2019
The proposal for the "Center for Atomically Precise Fabrication of Solid-State Quantum Devices" has been selected by UT Dallas to receive an award. The center
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Reza Moheimani was interviewed by IEEE Control Systems Magazine
May 22, 2019
The interview is published in June 2019 issue of IEEE Control Systems Magazine. You can read the interview here.
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LDCN receives Phase-II STTR funding from Department of Energy
April 17, 2019
Reza Moheimani and James Owen (Zyvex Labs) have won a Department of Energy (DOE) Phase-II Small Business Technology Transfer (STTR) award. The project “High Speed
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Australian Research Council Discovery Grant Awarded
April 17, 2019
Reza Moheimani is a Partner Investigator on the ARC Discovery Grant: "Robust Control of Highly Resonant Flexible and Nanoscale Systems" that was recently selected for
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Recent Publications

M. B. Coskun, H. Alemansour, A. G. Fowler, M. Maroufi, S. O. R. Moheimani

Q Control of an Active AFM CantileverWith Differential Sensing Configuration (Journal Article)

IEEE Transactions on Control Systems Technology, 27 (5), pp. 2271 - 2278, 2019.

(BibTeX | Links: )

F. Tajaddodianfar, S. O. R. Moheimani, J. N. Randall

Scanning Tunneling Microscope Control: A Self-Tuning PI Controller Based on Online Local Barrier Height Estimation (Journal Article)

IEEE Transactions on Control Systems Technology, 27 (5), pp. 2004 - 2015, 2019.

(BibTeX | Links: )

N. Nikooienejad, M. Maroufi, S. O. R. Moheimani

Rosette-scan video-rate atomic force microscopy: Trajectory patterning and control design (Journal Article)

Review of Scientific Instruments, 90 , pp. 073702 (10pp), 2019.

(BibTeX | Links: )

A. Bazaei, Z. Chen, Y. K. Yong, S. O. R. Moheimani

A novel state transformation approach to tracking of piecewise linear trajectories (Journal Article)

IEEE Transactions on Control Systems Technology, 26 (1), pp. 128–138, 2018.

(BibTeX | Links: )

F. Tajaddodianfar, S. O. R. Moheimani, J. Owen, J. N. Randall

On the effect of local barrier height in scanning tunneling microscopy: Measurement methods and control implications (Journal Article)

Review of Scientific Instruments, 89 (1), pp. 013701, 2018.

(BibTeX | Links: )

M. G. Ruppert, A. G. Fowler, M. Maroufi, S. O. R. Moheimani

On-Chip Dynamic Mode Atomic Force Microscopy: A Silicon-on-Insulator MEMS Approach (Journal Article)

IEEE Journal of Microelectromechanical Systems, 26 (1), pp. 215 - 225, 2017.

(BibTeX | Links: )